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首页> 外文期刊>Journal of Development Economics >Almost random: Evaluating a large-scale randomized nutrition program in the presence of crossover
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Almost random: Evaluating a large-scale randomized nutrition program in the presence of crossover

机译：几乎随机：在存在交叉的情况下评估大规模随机营养计划

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摘要

Large-scale randomized interventions have the potential to uncover the causal effect of programs applying to a large population, thereby improving on the insights gained from currently dominant smaller randomized studies. However, the external validity gained through larger interventions typically risks deviation from the randomization protocol. This paper investigates the impact of the Nutrition Enhancement Program, which aims to improve child nutrition in Senegal. The analysis deals with deviationfrom the planned treatment and suggests approaches for combining ex-post adjustments such as propensity score matching with the randomized treatment plan. The authors do not detect a strong overall program impact on the outcome measure of weight-for-agebased on planned treatment status, but do find an impact on the youngest children. Moreover, the project impact is clearer when the analysis considers treatment crossover using alternative estimators of two-stage least-squares and propensity score matching. The findings underscore the importance of addressing the shortcomings of large-scale randomization interventions in a systematic manner to guide further implementation of such projects, as well as to expose the true causal effect of such programs.
机译：大规模的随机干预措施有可能揭示适用于大量人群的项目的因果关系，从而改善从目前占主导地位的较小型随机研究中获得的见解。但是，通过较大的干预措施获得的外部有效性通常可能会偏离随机方案。本文研究了旨在改善塞内加尔儿童营养的营养强化计划的影响。分析处理偏离计划治疗的问题，并提出了将事后调整（例如倾向评分与随机治疗计划相结合）相结合的方法。作者并未发现对计划年龄的体重衡量结果有重大影响，但确实对最小的孩子产生了影响。此外，当分析考虑使用两阶段最小二乘和倾向得分匹配的替代估计量进行治疗交叉时，项目影响更加明显。这些发现强调了以系统的方式解决大规模随机干预措施的缺点的重要性，以指导此类项目的进一步实施，并揭示此类项目的真正因果关系。

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